Faust: Flexible Acquistion and Understanding System for Text
Final technical rept. Jun 2009-Mar 2013
SRI INTERNATIONAL MENLO PARK CA
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The vast majority of scientific and technical knowledge is expressed in natural-language NL texts. Our objective was to create an automated reading system that makes the knowledge in NL texts accessible to any of an open-ended range of formal reasoning systems. Our approach was based on large-scale statistical probabilistic joint inference over relational models. This vision involved a radical re-thinking of the architecture for Machine Reading systems.